
Bachelor/Master Thesis – Influence of Protein Solutions and Additives on Wetting Using AI
Fraunhofer-Gesellschaft
internship
Posted on:
Location Type: Office
Location: Stuttgart • Germany
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Tech Stack
About the role
- Quantified influence of different media on the meniscus/fill level at identical volumes
- Validated prediction/correction model (ML) including analysis pipeline and documentation
- Recommendations for robust LUMINA calibration in cell-culture/protein workflows (limitations, data requirements, maintenance)
- Optional: model report (Model Card) and guidelines for data extension (new media/batches)
Requirements
- Enthusiasm for experimental work and structured data collection
- Interest in fluidics/wetting or data science/ML (depending on project focus)
- Programming (Python) and solid evaluation/visualization skills are a plus
Benefits
- Opportunity to publish the thesis results in scientific venues
- Scientific investigation of application-relevant topics
- Insight into interdisciplinary project work
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningdata analysisdata visualizationPythonmodel validationcalibrationdata collectionexperimental designdata documentationfluidics
Soft Skills
enthusiasmstructured thinkingattention to detailproblem-solvingcommunication